Mirrors/text-generation-webui
1
0
Fork 0
mirror of https://github.com/oobabooga/text-generation-webui.git synced 2024-09-20 18:45:09 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions 1

Revert changes

Browse source
This commit is contained in:
oobabooga 2023-07-25 21:09:32 -07:00
parent 69f8b35bc9
commit 4a24849715
2 changed files with 1 additions and 22 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

20
docs/GPT-4chan-model.md
View file

@ -1,20 +0,0 @@
## GPT-4chan
[GPT-4chan](https://huggingface.co/ykilcher/gpt-4chan) has been shut down from Hugging Face, so you need to download it elsewhere. You have two options:
* Torrent: [16-bit](https://archive.org/details/gpt4chan_model_float16) / [32-bit](https://archive.org/details/gpt4chan_model)
* Direct download: [16-bit](https://theswissbay.ch/pdf/_notpdf_/gpt4chan_model_float16/) / [32-bit](https://theswissbay.ch/pdf/_notpdf_/gpt4chan_model/)
The 32-bit version is only relevant if you intend to run the model in CPU mode. Otherwise, you should use the 16-bit version.
After downloading the model, follow these steps:
1. Place the files under `models/gpt4chan_model_float16` or `models/gpt4chan_model`.
2. Place GPT-J 6B's config.json file in that same folder: [config.json](https://huggingface.co/EleutherAI/gpt-j-6B/raw/main/config.json).
3. Download GPT-J 6B's tokenizer files (they will be automatically detected when you attempt to load GPT-4chan):
```
python download-model.py EleutherAI/gpt-j-6B --text-only
```
When you load this model in default or notebook modes, the "HTML" tab will show the generated text in 4chan format.

3
docs/README.md
View file

@ -9,10 +9,9 @@
* [ExLlama](ExLlama.md)
* [Extensions](Extensions.md)
* [Generation parameters](Generation-parameters.md)
* [GGML (llama.cpp) models](GGML-llama.cpp-models.md)
* [GPT-4chan model](GPT-4chan-model.md)
* [GPTQ models (4 bit mode)](GPTQ-models-(4-bit-mode).md)
* [LLaMA model](LLaMA-model.md)
* [llama.cpp](llama.cpp.md)
* [LoRA](LoRA.md)
* [Low VRAM guide](Low-VRAM-guide.md)
* [RWKV model](RWKV-model.md)